Supply Chain Performance Measurement Model of Passion Fruit Agro-Industry for Sustainable Micro, Small, and Medium Enterprises with System Dynamics in North Sumatra Province

Kimberly Febrina Kodrat, Sukaria Sinulingga, Humala Napitupulu, Rika Ampuh Hadiguna


Supply chain management covers integrated activities of planning, coordinating, and controlling of all business processes and practices in the supply chain to meet the demands of consumers at the lowest possible cost. Sustainable supply chain can be achieved by taking into account three pillars of sustainable development, namely, economy, social, and environment. Passion fruit agro-industry supply chain actors consist of farmers, collectors, agro-industries, and retailers. This study aims at identifying factors affecting the passion fruit agro-industry supply chain performance for sustainable micro, small, and medium enterprises and designing a supply chain performance measurement model of MSME passion fruit agro-industry with system dynamics. This research used a survey method through observations, in-depth interviews, and expert opinions. Data were processed using a combination of the hard system (system dynamics analysis) and soft system (expert opinions).The feedback structure along the passion fruit syrup agro-industry system was modeled in a causal loop diagram using system dynamics through version 10 of Powersim Studio software. It was then translated into a stock-flow diagram as the implementation of the simulation model. The model was verified using a computerized statistical analysis (Absolute Means Error) technique. To formulate recommendations and development strategy scenarios for sustainable MSME passion fruit agro-industry supply chain, a system approach method was used and expected to produce an effective and operational decision in accordance with the objectives previously set. The results obtained through expert opinions and Analytic Hierarchy Process (AHP) which have the highest weight with various conditions for each variable. Seven key variables were proven to influence the performance of passion fruit agro-industry supply chain, which were also used to design a sustainable MSME supply chain development scenario. The behavior of the sustainable passion fruit agro-industry supply chain model took the form of positive growth and the error rate of 7.43. Developing a sustainable MSMEPFASCPM can be carried out with a moderate strategy by developing: 1) pattern of good relationships among the actors, 2) gradual increase in the availability of raw materials, 3) environmental support capability, 4) gradual increase of profits, 5) moderate skills, 6) employment opportunities, and 7) land availability.

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Heizer J, Reinder B. (2014). Operations Management. Sustainability and Supply Chain Management. Eleventh ed. Pearson, Boston.

Chopra S, Meindl P. (2007). Supply chain management: strategy, planning, and operation [third edition]. New Jersey: Prentice Hall.

Murthy PS, Naidu MM. (2012) Sustainable management of coffee industry by-products and value addition [A review]. Resources, Conservation and Recycling, 66: 45– 58.

Aprillya MR, Suryani E, Dzulkarnain A. (2019). System dynamics simulation model to increase paddy production for food security. Journal of Information Systems Engineering and Business Intelligence, 5(1). Available online at: http://e

Brodowska AJ, Nowak A, Śmigielski K. (2018). Ozone in the food industry: Principles of ozone treatment, mechanisms of action, and applications: An overview.Critical Reviews in Food Science and Nutrition, 58(13).

Bala BK, Bhuiyan MGK, Alam MM, Arshad FM, SidiqueSF, Alias EF. (2017). Modelling of supply chain of rice in Bangladesh.International Journal of Systems Science: Operations & Logistics, 4(2): 181–197.

Chapman A, Darby S. (2016). Evaluating sustainable adaptation strategies for vulnerable mega-deltas using system dynamics modelling: Rice agriculture in the Mekong Delta's An Giang Province, Vietnam.Science of the Total Environment: 326–338.

Allena-Ozolina, S. & Bazbauers, G. (2017). System Dynamics Model of Research, Innovation and Education System for Efficient Use of Bio-Resources. Energy Procedia, 128(2017), 350-357

Wang FX, Lai X, Shi N. (2011). A multi-objective optimization for green supply chain network design. Decision Support Systems, 51: 262–269.doi:10.1016/j.dss.2010.11.020.

Wu Z, Pagell M. (2011) Balancing priorities: Decision-making in sustainable supply chain management. Journal of Operations Management, 29: 577–590.

Chaabane A, Ramudhin A, Paquet M. (2012). Design of sustainable supply chains under the emission trading scheme. Int. J. Production Economics, 135: 37–49.

Fleury AM, Davies B. (2012). Sustainable supply chains-minerals and sustainable development, going beyond the mine. Resources Policy, 37: 175–178. doi:10.1016/j.resourpol.2012.01.003

Mochammad Althof Ibtisaam Shiddekh dan Erma SuryaniModel Sistem Dinamik Spasial Untuk Mengurangi Tingkat Kepadatan Ruas Jalan Utama Kota Surabaya Dengan Metode Smart Mobility. Jurnal Teknik ITS Vol. 7, No. 1 (2018) 2337-3520 (2301-928X Print)

Barisa, A., & Rosa, M. (2018). A System Dynamics Model for CO2 Emission Mitigation Policy Design in Road Transport Sector. Energy Procedia, 147(2018), 419-427.

Grigoryev, I. (2015). AnyLogic 7 in Three Days: A Quick Course in SimulationModeling – 2nd Edition. IlyaGrigoryev.

Zailani S, Jeyaraman K, Vengadasan G, Premkumar R. (2012). Sustainable supply chain management (SSCM) in Malaysia: A Survey. Int. J. Production Economics, Article-inpress. doi:10.1016/j.ijpe.2012.02.008.

Vachon S, Mao Z. (2008). Linking supply chain strength to sustainable development: A Country-Level Analysis. Journal of Cleaner Production,16: 1552–1560. doi:10.1016/j.jclepro.2008.04.012.

Zarei M, Fakhrzad MB, Paghaleh MJ. (2011). Food supply chain leanness using a developed QFD model. Journal of Food Engineering, 102: 25–33.

Erol I, Sencer S, Sari R. (2011). A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain. Ecological Economics, 70: 1088–1100. doi:10.1016/j.ecolecon.2011.01.001.

Ageron B,Gunasekaran A, Spalanzani A. (2011). Sustainable supply management: an empirical study. Int. J. Production Economics, Article inpress.

Cordero P. (2013). Carbon footprint estimation for a sustainable improvement of supply chains: State of the art. Journal of Industrial Engineering and Management, 6(3): 805-813.

Gebresenbet G, Bosona T. (2012).Logistics and Supply Chains in Agriculture andFood. A. Groznik (ed.). Pathways to Supply Chain Excellence. In Tech Publisher.

Munasinghe M. (2010). Sustainomics framework and practical application. MIND Press.Srilanka: Munasinghe Institute for Development.



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